Solving dynamic multi-objective problems with a new prediction-based optimization algorithm.
This paper proposes a new dynamic multi-objective optimization algorithm by integrating a new fitting-based prediction (FBP) mechanism with regularity model-based multi-objective estimation of distribution algorithm (RM-MEDA) for multi-objective optimization in changing environments. The prediction-...
Main Authors: | Qingyang Zhang, Shouyong Jiang, Shengxiang Yang, Hui Song |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0254839 |
Similar Items
-
A New Multi-objective Jaya Algorithm for Solving the Optimal Power Flow Problem
by: F. Berrouk, et al.
Published: (2018-09-01) -
Genetic Algorithm for Solving Multi-Objective Optimization in Examination Timetabling Problem
by: Son Tung Ngo, et al.
Published: (2021-06-01) -
An Improved Population Migration Algorithm for Solving Multi-Objective Optimization Problems
by: Qian Zhao, et al.
Published: (2012-09-01) -
Evolutionary algorithms for static and dynamic multiobjective optimization
by: Jiang, Shouyong
Published: (2016) -
An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems: Analysis and Validations
by: Mohamed Abdel-Basset, et al.
Published: (2021-01-01)